Data Analyst Job at VHB

VHB Raleigh, NC 27606

Overview:
ABOUT THE POSITION

VHB’s growing Raleigh, NC team is looking for an Entry Level Data Analyst.


Responsibilities

  • Analyzes and interprets data.
    • Uses spreadsheets and visualization tools to process and analyze data.
    • Analyze and interpret data using statistical methods and machine learning techniques
    • Collaborate with cross-functional teams to design and execute experiments to test hypotheses and drive business outcomes
    • Develop and implement predictive models and algorithms to solve business problems
    • Creates basic software programs to process and analyze data.
    • Prepares data analysis in report and in presentation format.
    • Clearly communicates the conclusions of data analysis.
  • Troubleshoots problems with data systems and communicates with end users to evaluate the problem or need and deliver the resolution.
    • Communicates regularly and effectively data-driven insights and findings with team members and to stakeholders in a clear and concise manner.
    • Develops awareness of the industry and the daily work of end users and customers.
    • Identify opportunities for process improvement and automation to streamline data collection and analysis processes.
    • Works with management and/or end users to develop and understand product specifications.
    • Documents and evaluates business systems and processes.
    • Escalates more complex problems to teammates.
  • Completes routine data and system configuration tasks
    • Collect, clean, and manipulate large and complex data sets
    • Completes routine data quality tasks
    • Imports and exports data to fulfill data requests
    • Completes routine business system configuration and maintenance tasks
  • Performs all job functions in compliance with applicable federal, state, and local regulations and VHB policies and procedures.

Skills and Attributes

  • Strong proficiency in Python or R.
  • Familiarity with SQL and other data analysis tools.
  • Knowledge of statistical analysis, including hypothesis testing and regression analysis.
  • Familiarity with machine learning techniques such as clustering and decision trees.
  • Excellent communication (written and oral) and interpersonal skills.
  • Team-oriented with strong capability to work independently.
  • Exceptional customer service abilities with an emphasis on timely response to all customer data concerns and needs.
  • Strong prioritization skills.
  • Self-motivated, highly organized, and detail oriented.
  • Strong verbal, written, and interpersonal communication skills.
  • Experience with Microsoft Word and Microsoft Excel.

Requirements

  • Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or related field.
  • 0-2 years of related IT experience

WE ARE VHB! We’re an inspired and innovative team of engineers, scientists, planners, and designers who partner with clients in the transportation, real estate, institutional, and energy industries, as well as federal, state, and local governments.

Our work helps improve mobility, enhance communities, and contribute to economic vitality. We do this while balancing development and infrastructure needs with stewardship of our environment.

Our people make us great! VHB provides a differentiating employee experience.

  • Inclusive culture of collaboration and innovation.
  • Opportunity to work on complex, transformational projects.
  • Amazing co-workers
  • A focus on learning and development
  • Flexible, hybrid workplace

It’s not surprising that VHB has consistently been rated one of the top AEC firms to work for across our 30+ offices on the East Coast. We’re growing and we hope you’ll join us!


VHB is proud to be an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

#LI-DF1




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